Autonomous driving of truck-trailer mobile robots with linear-fuzzy control for trajectory following

Antonio Moran, Masao Nagai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The modeling and autonomous control of truck-trailer mobile robots for trajectory following are addressed. The robot kinematical model is analyzed and used for designing a positioning control system based on linear controllers integrated in a fuzzy-logic approach. The design takes into account both positioning performance and jack-knife avoidance. The results of robot positioning control are extended to trajectory following for which a novel strategy is proposed applicable to general shape desired trajectories. The effectiveness of the proposed methods are verified for linear, circular and sinusoidal trajectories where the mobile robot converges to the desired trajectories, avoiding jack-knife positions and with bounded values of input steering angle.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728169323
DOIs
StatePublished - Jul 2020
Event2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Glasgow, United Kingdom
Duration: 19 Jul 202024 Jul 2020

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume2020-July
ISSN (Print)1098-7584

Conference

Conference2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020
Country/TerritoryUnited Kingdom
CityGlasgow
Period19/07/2024/07/20

Keywords

  • Fuzzy control
  • Linear-fuzzy integration
  • Trailer-type robot
  • Trajectory Following

Fingerprint

Dive into the research topics of 'Autonomous driving of truck-trailer mobile robots with linear-fuzzy control for trajectory following'. Together they form a unique fingerprint.

Cite this